Determining accelerated aging power cable spatial temperature profiles using Artificial Neural Networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)
22 Downloads (Pure)

Abstract

The spatial temperature profile of Medium-Voltage (MV) extruded power cable, undergoing accelerated aging in a tank filled with water according to IEEE standard 1407 guidance, is estimated by combining Finite-Element Modelling (FEM) and an Artificial Neural Network (ANN). ANSYS Fluent is first used to establish a 3-D finite-element model and to simulate the temperature distribution within the power cable. In order to estimate temperature at any position within the power cable thus informing a more accurate aging model based on the variation temperature with position, a 3 layers ANN, trained by Bayesian regularization back-propagation is then developed. For the ANN, the FEA simulation temperature profiles at specified nodes are used as the input information. The resulting model is useful to understand how each position within a cable undergoing artificial aging is affected by different temperatures.
Original languageEnglish
Title of host publication2022 IEEE International Conference on High Voltage Engineering and Applications (ICHVE)
Place of PublicationPiscataway, NJ.
PublisherIEEE
Pages1-4
Number of pages4
ISBN (Print)9781665407519
DOIs
Publication statusPublished - 25 Sept 2022
EventInternational Conference on High Voltage Engineering - Chongqing, Chongqing, China
Duration: 25 Sept 202229 Sept 2022
http://www.ichve2022.org/

Publication series

Name2022 IEEE International Conference on High Voltage Engineering and Applications (ICHVE)
PublisherIEEE

Conference

ConferenceInternational Conference on High Voltage Engineering
Abbreviated titleICHVE 2022
Country/TerritoryChina
CityChongqing
Period25/09/2229/09/22
Internet address

Keywords

  • power cables
  • tempertaure
  • Artificial Neural Networks (ANNs)
  • medium voltage (MV)
  • finite element analysis (FEA)

Fingerprint

Dive into the research topics of 'Determining accelerated aging power cable spatial temperature profiles using Artificial Neural Networks'. Together they form a unique fingerprint.

Cite this